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20212026
most citedDual Modality Prompt Tuning for Vision-Language Pre-Trained Model

82 citations · 182 across the 16 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024★ 1 cited

Frequency-Guided Spatial Adaptation for Camouflaged Object Detection

Shizhou Zhang, Dexuan Kong, Yinghui Xing +5

Camouflaged object detection (COD) aims to segment camouflaged objects which exhibit very similar patterns with the surrounding environment. Recent research works have shown that e…

cs.CV2024

Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach

Shizhou Zhang, Wenlong Luo, De Cheng +4

In this paper, we construct a large-scale benchmark dataset for Ground-to-Aerial Video-based person Re-Identification, named G2A-VReID, which comprises 185,907 images and 5,576 tra…

cs.CV2024

Visual Prompt Tuning in Null Space for Continual Learning

Yue Lu, Shizhou Zhang, De Cheng +4

Existing prompt-tuning methods have demonstrated impressive performances in continual learning (CL), by selecting and updating relevant prompts in the vision-transformer models. On…

cs.CV2024★ 16 cited

DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation

Lingyan Ran, Lushuang Wang, Tao Zhuo +1

Semantic segmentation of remote sensing images is a challenging and hot issue due to the large amount of unlabeled data. Unsupervised domain adaptation (UDA) has proven to be advan…

cs.CV2024

CrossDiff: Exploring Self-Supervised Representation of Pansharpening via Cross-Predictive Diffusion Model

Yinghui Xing, Litao Qu, Shizhou Zhang +2

Fusion of a panchromatic (PAN) image and corresponding multispectral (MS) image is also known as pansharpening, which aims to combine abundant spatial details of PAN and spectral i…